Senior Quality Engineer

Posit is seeking a Senior Software Quality Assurance Engineer with strong analysis, automation, and quality methodology skills to join our growing Posit Connect team. Posit Connect is a publishing platform for the work data science teams create. Using Connect, our customers can securely manage their data science assets like interactive apps, APIs, models, and scheduled reports, all in one place. This position will focus on testing our publishing capabilities that allow users to push content to Connect from many different sources.

This position is analogous to a Software Engineer in Test (SDET) role, involving test strategy creation, full-stack testing, test automation infrastructure creation, and process improvement in collaboration with the team. Quality is owned by everyone on the team, so developers and QA engineers work closely to ensure we are producing software with high value and quality, and building good workflows and internal tools to smooth the path along the way. This role offers a significant opportunity to drive the quality of our software through careful testing and thoughtful assessment. We value analysis, reflection, and critical thought on the team, so you will be expected to contribute to collaborative product discussions throughout the development process.

The ideal candidate has some combination of: experience leading the development of test automation frameworks, familiarity with Cypress, and previous testing of VSCode Extensions. They are adept at designing suites of end-to-end and integration tests that efficiently and effectively cover a full matrix of capabilities.

What you’ll own:

• Define test strategies and hold us accountable for the Definition of Done for projects. The Connect team handles many distinct features and needs a champion of quality for each one. You will guide your team to determine what needs to be tested and automated, solicit feedback from stakeholders, and participate in the entirety of the development process to make Connect successful as THE tool to deploy data science artifacts.
• Work closely with QA and Engineering leadership to ensure we have the correct process and strategy for our day to day work
• Create, maintain, and enhance automated test infrastructure, making automated tests easier to author, faster to run, more resilient, and broader in coverage. Depending on the project, these automated tests could be end-to-end, integration, API, or load and performance. It is critical for the team to have automated tests and a long-term automation strategy, and we would love to hear from you how to best accomplish that.
• Develop infrastructure as code to deploy reproducible test environments in AWS, Kubernetes, docker, etc.
• Domain expertise, over time. QA engineers work heavily with other teams and often act as a connective “glue” between product teams. To be effective, you will need to learn from these other teams. This will include learning about the Posit products and what is most needed for the projects we support.
• User advocacy for new features and enhancements to products and projects

What you’ll help with:

• Collaborate with the developers and stakeholders to make sure we are building the right things, and building things right
• Collaborate with other QA Engineers to coordinate test coverage, assess risk holistically, and mentor others in areas where you have expertise (as they will for you)
• Build for the future of automated tests and infrastructure
• Partner with developers and Customer Support to investigate customer-reported issues

What you’ll teach:

• Both front and back end test automation best practices, helping to create repeatable and maintainable automation patterns for others to follow easily.
• A quality mindset across the team. Everyone on the team owns quality, but QA should help set the tone of what quality means and is an expert on automation and testing strategies.
• Industry trends and new technologies related to testing and automation
• Ability to communicate across teams and stakeholders.  You will be working with your QA team, Engineers, Engineering leadership, and outside stakeholders.

What you’ll learn:

• An appreciation for developing and maintaining software in the data science context
• A deeper understanding of Connect, publishing tools and plugins, and the test environments that are needed to properly exercise our software
• Data science tools, patterns, and best practices

You have:

• Desire to help colleagues and those on other teams, and work with them frequently in a highly collaborative environment
• Ability to create an appropriate, efficient test strategy to cover functionality across many different systems, knowing what to prioritize and how to assess and communicate the tradeoffs
• Experience writing automated tests, in any language. Preferred Python, JavaScript, particularly Cypress 
• Expertise in building test automation infrastructure and creating automated tests at scale
• Experience creating high-level test strategies for complex products
• Strong knowledge of Linux, MacOS, and Windows tools and environments
• Curiosity and a willingness to learn new technologies
• A humble, collaborative approach to producing high-quality software

Nice to have:

• Experience testing VSCode extensions